{"id":1,"date":"2017-10-23T04:24:25","date_gmt":"2017-10-23T04:24:25","guid":{"rendered":"http:\/\/wp431m.a10-52-158-154.qa.plesk.ru\/wordpress\/?p=1"},"modified":"2017-10-23T19:20:01","modified_gmt":"2017-10-23T19:20:01","slug":"hello-world","status":"publish","type":"post","link":"https:\/\/systemslearning.org\/wordpress\/hello-world\/","title":{"rendered":"Beyond Complicated"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif; font-size: 10pt;\">Complicated systems are systems that have been designed by human beings. Assuming they work, they do what they were designed to do. They are predictable. When they go wrong, because we built the system, we can find the fault because we know how to analyse the system to find the problem. Once we find the problem, there the solution will be. We tend to call such systems \u2018machines&#8217; because that is what they are \u2013 mechanical things. There is beauty in their simplicity, even when it is very complicated like a jet-engine.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif; font-size: 10pt;\">Complex systems are different. They were not deliberately designed. Parts of them may have been, but other factors have crept in \u2013 often in the form of human beings, or circumstances or chance. These systems are about relationships, not things. They may do what we expect, but they are not predictable. Unpredictable events emerge. When things go wrong, there may be many causes. To put things right, there may be many possible ways to proceed. Such systems are messy, complex and uncertain. There is beauty in their complexity, like a City, but this also makes it hard for us to know what to do when such systems are not working.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif; font-size: 10pt;\">The prevailing way of thinking, based on the machine\/thing view of the world, assumes that analysis will always find the \u2018one true cause\u2019 which in turn will lead to \u2018the one true answer\u2019. Measurement, analysis, tools, predictability \u2013 these are the assumptions of the prevailing mindset.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif; font-size: 10pt;\">Many of us recognise that the complexity of the world cannot be so simply understood or corrected. What we are dealing with may be too complex to ever be fully understood. We know it doesn\u2019t make sense to pretend that a complex, multi-faceted problem can be simplified and solved. We need different assumptions and beliefs, different approaches to make sense of this complexity, to make decisions, to solve problems.<\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: georgia, palatino, serif; font-size: 10pt;\">We need to free our thinking \u2013 liberate ourselves from this mistake of the intellect by learning new ways of seeing and acting which respond effectively to complexity, messiness and uncertainty.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Complicated systems are systems that have been designed by human beings. Assuming they work, they do what they were designed to do. They are predictable. When they go wrong, because we built the system, we can find the fault because we know how to analyse the system to find the problem. Once we find the &hellip; <a href=\"https:\/\/systemslearning.org\/wordpress\/hello-world\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Beyond Complicated<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/posts\/1","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/comments?post=1"}],"version-history":[{"count":4,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/posts\/1\/revisions"}],"predecessor-version":[{"id":505,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/posts\/1\/revisions\/505"}],"wp:attachment":[{"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/media?parent=1"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/categories?post=1"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/systemslearning.org\/wordpress\/wp-json\/wp\/v2\/tags?post=1"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}